4th Decision Science Alliance International Summer Conference, DSA ISC 2026
Human–AI
Collaboration for
Real-World
Decision-Making
Jun 18-19, 2026 | MADRID
Universidad Politécnica de Madrid
Organizers
One single event to change the way you make decisions, accelerate your career and shape the future of your business through Decision Science.
Take a look at the video from our previous editions ->
The Voice of the Summit
IDA Magazine is the official media of the Decision Science Alliance.
During the Summit, IDA Issue #3 will be exclusively distributed, a curated collection of insights, experiences, and perspectives from leading voices in decision science, AI and leadership.
This edition brings together the stories of the very leaders you’ll meet at the Summit, sharing real-world experiences, challenges and innovations shaping the future of decision-making.
What the Decision Science Summit is about...
For years, we’ve studied how the best decisions are made, in research labs, in organizations and in real-world environments.
The Decision Science Summit was created for one reason: to bring together those who study decisions and those who make them every day.
This is not an event filled with self-promotional talks.
And it’s not a series of abstract, disconnected presentations.
Our mission is clear: to improve how people and organizations make decisions, today and in the future.
Whether you come from academia, business or technology, this is where you’ll find ideas, tools and connections to take your work to the next level.
Hundreds of professionals are already planning to be in Madrid.
Will you be there?
inspiring talks and keynote speeches from leading voices in Decision Science and AI
direct dialogue between academia and industry
hands-on workshops focused on real-world applications
Awards celebrating excellence and impact
matchmaking sessions designed to connect researchers, companies, startups and investors
a gala dinner bringing the community together in an informal and engaging setting
Meet professionals from top organizations at the Decision Science Summit 2026 in Madrid.
and many more…
Top decision science innovators from both industry and academia take center stage at the DS Summit.
Tamara Borreguero Sanchidrián
Air Power Operations PMTD – Digitalization @Airbus
Sofía Moraga Navas
Senior InStock Manager @Amazon
Pablo Garrido
Martínez-Llop
Railway Project Manager @Talgo
Julia Díaz
Head of Data Science @Repsol
Angel Luis Matesanz Sancho
Director of Product Design and Pricing @Renfe
Fabio Luraschi
Inventory Strategy Manager @Guess
Nadine Stiebellehner
Digitalization & Delivery Projects Trainee @Swiss Post
Gonçalo Cabrita
Head of Software and Robotics @PlanetFarms & CEO @Periplo Innovation
Michela Manini
Digital Transformation Enabler @SUPSI DTI
Armando Nieto Ranero
Executive President @Divina Seguros
Your opportunities
at the Decision Science Summit
Strategic
Connections
Network with industry leaders, innovators, startups, and investors to forge partnerships, expand your influence, and discover new career and job opportunities.
Scientific Publication Opportunities
Present your research and case studies for publication in indexed scientific journals, increasing visibility and impact in the global research community.
Market Visibility & Positioning
Position your organization as a market leader, showcase expertise and increase recognition among peers, potential clients and partners.
Discover Decision Science for Your Business
Learn how to use Decision Science and practical AI to anticipate change, reduce risk, optimize operations and make better data-driven decisions.
Our Sponsors
and many more…
Who the Summit is for
and who you’ll meet
A unique community of decision-makers, innovators and thought leaders.
The DS Summit brings together a diverse and international audience ready to share ideas, explore collaborations and shape the future of decision science and AI.
Eager to learn how to integrate decision science into strategic planning, anticipate market shifts with data-driven foresight, and scale organizations with AI-powered efficiency.
At the Summit, they can connect with peers and industry leaders, exchange insights on cutting-edge methodologies, explore innovative tools and applications, meet potential partners and clients, and enhance their visibility and position as thought leaders in their sectors.
Explore cutting-edge AI methods, optimization techniques, and simulation frameworks; discover best practices for deploying scalable solutions; accelerate AI adoption across industries; connect with peers, benchmark approaches, and showcase technical leadership.
Gain exposure to real-world applications of theoretical models, foster cross-disciplinary collaborations with industry, and learn how to translate research into impactful solutions; network with innovators, receive feedback, and increase academic visibility.
Assess AI-driven opportunities, access curated startup pipelines, participate in exclusive club deals, and leverage decision science for investment evaluation; connect with potential partners, investors, and clients, and enhance market positioning.
Apply decision science to design smarter cities, optimize public services, evaluate policies with data-driven evidence, and balance innovation with governance; engage with experts, explore best practices, and influence public decision-making.
Leave the event knowing exactly what to do and how to do it.
Logistics &
SCM
What you learn: How decision science transforms supply chain management — from predictive logistics and smart routing to real-time demand alignment and capacity planning.
Why it matters: Enables data-driven, resilient, and sustainable supply networks that adapt quickly to market shifts and global disruptions.
Who it’s for: Supply chain leaders, logistics strategists, operations directors, and technology partners optimizing end-to-end performance.
Healthcare &
Hospitals
What you learn: How decision science enhances patient care, resource allocation, and operational efficiency through data-driven diagnostics, predictive staffing, and outcome modeling.
Why it matters: Improves patient outcomes, reduces costs, and helps healthcare systems respond proactively to changing clinical and operational demands.
Who it’s for: Hospital administrators, healthcare executives, clinical operations leaders, and digital health innovators.
Manufacturing &
Production
What you learn: How decision science optimizes production planning, quality control, and resource utilization through predictive analytics and intelligent automation.
Why it matters: Drives operational excellence, minimizes waste, and enables agile manufacturing strategies that respond to dynamic market and supply conditions.
Who it’s for: Plant managers, production executives, operations strategists, and industrial innovation leaders.
Retail, Finance,
Banks & Insurance
What you learn: How decision science drives customer insights, risk management, pricing optimization, and portfolio strategies through predictive analytics and advanced modeling.
Why it matters: Enables smarter financial decisions, personalized customer experiences, and resilient business operations in competitive markets.
Who it’s for: Retail strategists, banking executives, insurance leaders, financial analysts, and customer experience innovators.
Smart Cities &
Communities
What you learn: Harness data to design adaptive mobility systems, infrastructure, and services that meet citizens’ needs.
Why it matters: Enables cities to become more sustainable, livable, and responsive to changing demands.
Who it’s for: Enables cities to become more sustainable, livable, and responsive to changing demands.
Energy &
Transportation
What you learn: How decision science optimizes energy generation, distribution, and consumption, as well as transportation planning, fleet management and logistics through predictive analytics and intelligent systems.
Why it matters: Drives operational efficiency, reduces environmental impact, and supports resilient, sustainable infrastructure for the energy and transport sectors.
Who it’s for: Energy managers, transportation planners, infrastructure executives and sustainability and innovation leaders.
Marketing &
Business
What you learn: How decision science enhances customer segmentation, campaign optimization, pricing strategies and business performance through predictive analytics and data-driven insights.
Why it matters: Enables smarter marketing decisions, maximizes ROI, and drives growth by aligning business strategies with real-time data.
Who it’s for: Marketing leaders, business strategists, data-driven decision makers and growth innovators.
Life Science &
Sports
What you learn: How decision science drives innovation in drug development, clinical trials, performance analytics and athlete management through predictive modeling and data-driven insights.
Why it matters: Accelerates scientific breakthroughs, optimizes health and performance outcomes and supports evidence-based decision-making in life sciences and sports.
Who it’s for: Researchers, life science executives, sports performance analysts and health & wellness innovators.
Robotics
Devices
What you learn: How decision science powers robotics innovation, from autonomous systems and industrial automation to AI-driven device optimization and predictive maintenance.
Why it matters: Enables smarter, more efficient robotics solutions, reduces operational risk, and accelerates technological advancement across industries.
Who it’s for: Robotics engineers, R&D leaders, automation specialists and technology innovators.
Decision Science Tools & Methods
Machine Learning
What you learn: Discover how to leverage predictive algorithms and machine learning models to turn complex data into actionable insights.
Why it matters: Helps you anticipate trends, reduce uncertainty, and make faster, evidence-based decisions.
Who it’s for: Data scientists, innovation managers, product leads.
Optimization
What you learn: Learn to identify the best solutions under complex constraints, optimizing resources, costs, and timelines.
Why it matters: Maximizes efficiency and value in both operational and strategic decision-making.
Who it’s for: Operations directors, supply chain managers, strategy consultants.
Operations Research
What you learn: Apply advanced quantitative methods to simplify complex problems and enhance strategic planning.
Why it matters: Turns uncertainty into structured models that guide concrete and effective actions.
Who it’s for: Policy makers, corporate planners, process managers.
Business Analytics
What you learn: How decision science leverages data visualization, predictive modeling, and advanced analytics to uncover insights, optimize strategies and drive measurable business outcomes
Why it matters: Empowers organizations to make smarter, faster decisions, maximize operational efficiency and gain a competitive advantage through data-driven intelligence.
Who it’s for: Business analysts, data strategists, executives, and decision-makers seeking to harness analytics for growth and innovation.
Simulation
What you learn: Build and test virtual models of complex systems to forecast outcomes and evaluate risks safely.
Why it matters: Lets you experiment without consequences, saving time and resources while improving strategy.
Who it’s for: Risk managers, planners, innovation labs.
Artificial Intelligence
What you learn: How decision science and AI drive predictive modeling, intelligent automation, natural language processing and advanced decision-making across industries.
Why it matters: Enables smarter, faster, and more scalable solutions, transforming business processes, customer experiences and innovation capabilities.
Who it’s for: AI strategists, data scientists, technology leaders, and business innovators looking to implement AI-driven decision frameworks.
Real-World Applications
What you learn: How decision science translates into actionable insights across industries, from operational optimization and risk management to customer engagement and strategic planning.
Why it matters: Demonstrates tangible impact, helping organizations implement data-driven solutions that improve efficiency, performance and competitiveness.
Who it’s for: Business leaders, data practitioners, decision-makers, and innovators seeking practical applications of analytics and AI.
Data Science
What you learn: How decision science leverages data collection, statistical modeling, machine learning, and predictive analytics to uncover insights and guide business strategy.
Why it matters: Transforms raw data into actionable intelligence, enabling organizations to make informed decisions, optimize processes, and gain a competitive edge.
Who it’s for: Data scientists, analysts, business strategists, and technology leaders looking to harness the power of data for decision-making.
Applied Maths
What you learn: How decision science applies mathematical modeling, optimization techniques, and quantitative analysis to solve complex real-world problems across industries.
Why it matters: Drives precise, data-driven decisions, enhances operational efficiency, and supports innovative strategies with rigorous analytical foundations.
Who it’s for: Quantitative analysts, operations researchers, data scientists, and decision-makers seeking mathematical approaches to optimize outcomes.
Testimonials